Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family Y Tan*, D Min*, Y Li, W Li, N Hu, Y Chen, G Qi International Semantic Web Conference, 348-367, 2023 | 58* | 2023 |
An empirical study of pre-trained language models in simple knowledge graph question answering N Hu, Y Wu, G Qi, D Min, J Chen, JZ Pan, Z Ali World Wide Web 26 (5), 2855-2886, 2023 | 11 | 2023 |
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data D Min, N Hu, R Jin, N Lin, J Chen, Y Chen, Y Li, G Qi, Y Li, N Li, Q Wang NAACL 2024 (Industry Track), 2024 | 4 | 2024 |
Three stream based multi-level event contrastive learning for text-video event extraction J Li, C Zhang, M Du, D Min, Y Chen, G Qi Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding R Jin, Y Li, G Qi, N Hu, YF Li, J Chen, J Wang, Y Chen, D Min arXiv preprint arXiv:2403.19723, 2024 | | 2024 |
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation Y Li, S Zhang, R Wu, X Huang, Y Chen, W Xu, G Qi, D Min DASFAA 2024 (Industry Track), 2024 | | 2024 |